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(PDF) Fast Recognition of Remixed Music Audio
https://www.researchgate.net/publication/224711721_Fast_Recognition_of_Remixed_Music_Audio
Fast Recognition of Remixed Music Audio. May 2007; Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., ... F AST RECOGNITION OF REMIXED MUSIC AUDIO. Michael Casey ...
CiteSeerX — FAST RECOGNITION OF REMIXED MUSIC …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.911
fast recognition remixed music audio efficient implementation pop song share shingle remixed song new approach audio shingle logchromagram shingle cepstral coefficient feature remixing process similarity fail neighbour algorithm group song efficient algorithm locality sensitive hashing small chunk precision-recall performance remix distribution ...
[PDF] Fast Recognition of Remixed Music Audio | …
https://www.semanticscholar.org/paper/Fast-Recognition-of-Remixed-Music-Audio-Casey-Slaney/d41a668a7838ad24d5ad3b637ea1f71dcbd2b660
Fast Recognition of Remixed Music Audio @article{Casey2007FastRO, title={Fast Recognition of Remixed Music Audio}, author={Michael A. Casey and Malcolm Slaney}, journal={2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07}, year={2007}, volume={4}, pages={IV-1425-IV-1428} } M. Casey, M. Slaney
Fast Recognition of Remixed Music Audio - Goldsmiths ...
https://research.gold.ac.uk/id/eprint/15157/
Casey, Michael A. and Slaney, M..2007. 'Fast Recognition of Remixed Music Audio'. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).HI, United States. [Conference or Workshop Item] No full text available
Published at ICASSP-2007, Honolulu, Hawaii.
https://engineering.purdue.edu/~malcolm/yahoo/Casey2007(FastRecognitionRemixedAudioICASSP).pdf
FAST RECOGNITION OF REMIXED MUSIC A UDIO Mic hael Case y! Goldsmiths, Uni versity of London Department of Computing Ne w Cross, London, UK Malcolm Slane y Y ahoo! Research, Inc. Sunn yv ale California, USA ABSTRA CT W e present an efÞcient algorithm for automatically detectin g remix es of pop songs in large commercial collections. Remix es
Fast Recognition of Remixed Music Audio
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000004218378
We present an efficient algorithm for automatically detecting remixes of pop songs in large commercial collections. Remixes are closely related as commercial products but they are not closely related in their audio spectral content because of the nature of the remixing process. Therefore spectral modelling approaches to audio similarity fail to recognize them.
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